Large-scale data collection

Within the framework of this project, the stated ambition for data collection is to cover around 2700 km2 over a period of three years; the objective being to produce optimal quality data for the national cadastre while developing approaches which will allow a wider coverage of the national territory with the help of other partners and projects.

An approach based on experience and knowledge sharing

The approach adopted for data collection is based on a combination of the experience of the members of the consortium and a sharing of knowledge with national and local actors to identify the solutions that best fit Benin's expectations. Based on previous experiences, tests have been carried out in the field to adopt innovative approaches that allow us to go quickly in data collection while maintaining optimal quality at a reasonable price. As the approach is intended to be global, procedure manuals have been developed to collect data in empty areas and to update existing data before it is integrated into the national cadastre.

A methodical and progressive start

In addition to the manuals developed, it is also planned to develop data collection applications adapted to local realities and legal requirements and accessible to all actors involved in the collection of land data. Thus, a socio-land data collection platform coupled with a mobile application is under development, as well as an application for consolidating socio-land and land survey data collected in the field. These two applications will make it possible to slowly start collecting real data in the field in the first intervention communities of N’Dali and Bohicon. In these two municipalities, the districts of Sirarou (N’Dali), Bohicon I and Bohicon II will be fully covered for around 450 km2.

After this first step, a stop will be made to assess the tools and approaches used before moving on to the popularization and generalization phase. While the first phase will be underway, it is planned to develop or adapt an application to collect topographic land data in order to eventually achieve automation of the processing of data collected in the field and thus reduce time losses and the risk of errors and fraud.